R Markdown - Assignment 3 in SDS 6103

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Illustration of R Markdown Capabilities

Exploring the Use of R Markdown for Presentations, Notebooks, and Interactive Graphics

This document explores how R Markdown can be used to create presentations, notebooks, and interactive graphics, along with examples for each.

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R Markdown for Presentations

R Markdown supports creating various types of presentations:

1. HTML Presentations:
   • ioslides: Simple and clean HTML-based slides.
   • Reveal.js: Rich with themes, transitions, and interactivity.
   • xaringan: Highly customizable, built on remark.js.
2. PDF Presentations:
   • Beamer: LaTeX-based, suitable for academic and professional presentations.
3. Microsoft PowerPoint:
   • Directly generate .pptx files from R Markdown.

Creating an HTML Presentation with ioslides

Example YAML header for ioslides:

---
title: "Data Analytics Overview"
author: "John Andrew"
output: ioslides_presentation
---

This will create a basic HTML slide deck with ioslides.

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Creating a PDF Presentation with Beamer

Example YAML header for Beamer:

---
title: "Statistical Analysis"
author: "John Andrew"
output: beamer_presentation
---

This setup will generate a Beamer PDF presentation with numbered sections.

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Creating a PowerPoint Presentation

Example YAML header for PowerPoint:

---
title: "Business Intelligence"
author: "John Andrew"
output: powerpoint_presentation
---

This setup outputs directly to a .pptx file.

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Interactive Graphics with Shiny and HTML Widgets

R Markdown can produce interactive graphics using: - Shiny: R’s web framework for dynamic, reactive content. - HTML Widgets: A collection of R packages for embedding interactive JavaScript widgets like plotly and leaflet.

Interactive Plot Example (HTML Only)

To ensure compatibility with both HTML and PDF, we will only enable this code in HTML output.

library(plotly)

## Loading required package: ggplot2

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

plot_ly(data = mtcars, x = ~mpg, y = ~hp, type = 'scatter', mode = 'markers')

If rendering as HTML, this chunk will display an interactive Plotly scatter plot.

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Interactive Map with Leaflet (HTML Only)

library(leaflet)
leaflet() %>%
  addTiles() %>%
  addMarkers(lng = -122.4194, lat = 37.7749, popup = "San Francisco")

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R Notebooks in R Markdown

An R Notebook is an extension of R Markdown that supports inline execution and interactive analysis.

Inline Plotting in R Notebook

plot(mtcars$mpg, mtcars$hp, 
     main = "Miles per Gallon vs Horsepower",
     xlab = "Miles per Gallon", 
     ylab = "Horsepower")

Using HTML Widgets in R Notebook (HTML Only)

library(DT)
datatable(mtcars)

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Caching in R Notebooks

R Notebooks support caching, which saves results of computationally expensive code chunks.

Sys.sleep(5)  # Simulate a long computation
sum(rnorm(1e6))

## [1] -365.5182

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Parameterized Reports in R Notebooks

Example YAML for parameterized reports:

---
title: "Parameterized Report"
output: html_notebook
params:
  sample_size: 20
  region: "West"
---

This feature allows flexible, dynamic reports based on parameter values.

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Using Other Language Engines in R Markdown

R Markdown supports different programming languages.

Python Example (Illustrative Only)

# Python calculation example
x = 10
y = 5
result = x * y
result

SQL Example (Illustrative Only)

-- SQL query example
SELECT * FROM mtcars WHERE mpg > 20

Bash Example (Illustrative Only)

# Bash command example
ls -l

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